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المجالتصميم البحثالإحصاء
العائلةProcess / pipelineHypothesis test
سنة النشأةConsolidated as a formal design framework in the 1960s–1980s1992
صاحب الطريقةSynthesized from longitudinal design traditions (Lazarsfeld, 1940s) and classical hypothesis testing (Fisher, Neyman-Pearson, 1920s–1930s)Girden (textbook treatment); Field (2013)
النوعQuantitative longitudinal research designParametric within-subjects mean comparison
المصدر التأسيسيSinger, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. ISBN: 978-0195152968Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
الأسماء البديلةlongitudinal confirmatory study, repeated-measures hypothesis testing, prospective hypothesis testing, longitudinal inferential researchwithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
ذات صلة54
الملخصLongitudinal hypothesis testing research combines a longitudinal design — measuring the same units repeatedly over time — with formal null-hypothesis significance testing to determine whether observed changes exceed what chance alone can explain. It is widely used in education, medicine, psychology, and social science to test directional predictions about change, stability, or group differences that emerge over a defined time span.Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).
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ScholarGateقارن الطرق: Longitudinal Hypothesis Testing Research · Repeated-measures ANOVA. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare